Subtype-Specific Brain Atrophy and White Matter Alterations in Mild Cognitive Impairment

Liangpeng Wei1,2,3, Jiaming Lu1,2,3, Xin Li1,2,3

  • 1Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321 Zhongshan Road, Nanjing 210008, China.

Brain Sciences
|January 28, 2026
PubMed

Insights

This study found distinct brain structure differences in amnestic mild cognitive impairment (aMCI) and non-amnestic mild cognitive impairment (naMCI). These imaging biomarkers can help classify MCI subtypes and differentiate dementia.

Area of Science:

  • Neuroimaging
  • Neurology
  • Biomarkers

Background:

  • Distinguishing mild cognitive impairment (MCI) subtypes is crucial for early dementia differentiation.
  • Subtype-specific pathological changes in MCI remain incompletely understood.

Purpose of the Study:

  • To investigate subtype-specific structural brain alterations in amnestic MCI (aMCI) and non-amnestic MCI (naMCI).
  • To evaluate the potential of these alterations as imaging biomarkers for MCI subtype classification.

Main Methods:

  • Analysis of T1 and diffusion tensor imaging (DTI) MRI data from two independent cohorts.
  • Utilized surface-based morphometry and automated fiber quantification (AFQ) for cortical thickness and white matter analysis.
  • Employed mediation models and logistic regression for evaluating brain-behavior relationships and classification performance.

Main Results:

  • Amnestic MCI (aMCI) showed right hippocampal atrophy.
  • Non-amnestic MCI (naMCI) exhibited reduced cortical thickness in the right anterior cingulate cortex (rACC) and opercular inferior frontal gyrus, with increased fractional anisotropy (FA) in the right inferior fronto-occipital fasciculus (IFOF).
  • These structural changes correlated with cognitive deficits and accurately classified aMCI vs. naMCI (Accuracy=0.821, AUC=0.904).

Conclusions:

  • Distinct structural alterations characterize aMCI and naMCI, offering insights into dementia heterogeneity.
  • Identified imaging markers show promise for the diagnostic classification of MCI subtypes.
  • Findings support the utility of neuroimaging in understanding and diagnosing MCI.

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